Research and Application of Fibre Channel Status Online Sensing Technology

Zhang, Tao; Li, Jin; Xue, Mingjun; Zhang, Hao; Li, Yuping; Bao, Manzhu

doi:10.1007/978-981-19-1528-4_49

Cited by 1 publication

(2 citation statements)

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“…First, the technology that can distinguish fake and natural jadeite to prevent consumer interests from being infringed ; secondly, the jadeite quality quantitative classification technology to evaluate the jadeite, to ensure that consumers buy jadeite when the price can be based. The identification of jadeite is divided into distinguishing jadeite and similar jade, and the identification of jadeite after optimization [1]. Among them, A jadeite generally refers to natural jadeite and heat-treated jadeite.…”

Section: Introductionmentioning

confidence: 99%

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Jadeite origin recognition based on ensemble learning

Wang¹,

Tu²,

Li³

et al. 2023

International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022)

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Most of the jade on the market now comes from Myanmar, Guatemala, and a few from Russia. The gemological properties of jadeite from different producing areas are consistent. However, in the middle-end jade market, under the same quality, the prices of Guatemalan jade and Russian jade are generally lower than those of Myanmar jade, so some illegal merchants will use Guatemalan jade to impersonate Myanmar jade. Due to the continuous improvement of jade counterfeiting technology, traditional identification methods can no longer meet the demand. In order to protect the rights and interests of consumers need to establish a rapid and effective jade origin traceability method. In this paper, through the (LA-ICP-MS) trace element data set and the method based on weighted extreme learning machine, AdaBoost and incremental learning fusion, the jadeite discrimination model of different producing areas is established to realize the intelligent discrimination of jadeite producing areas. The recognition accuracy of integrated learning algorithm is more than 80 %. Compared with the basic extreme learning machine and weighted extreme learning machine, it can be found that the classification accuracy of integrated learning algorithm is higher and more stable.

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Section: Introductionmentioning

confidence: 99%

“…Infrared spectroscopy is often used to identify and process jadeite because of its advantages of simplicity and rapidity. It is mainly divided into transmission technology and reflection technology [1]. In 1997 Wu Shuqi, Guo Lihe [2] proposed the use of this technology to identify the jade B goods.…”

Section: Introductionmentioning

confidence: 99%